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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2017 Volume 57, Number 1, Pages 94–110 (Mi zvmmf10510)

This article is cited in 1 paper

Two-frequency self-oscillations in a FitzHugh–Nagumo neural network

S. D. Glyzina, A. Yu. Kolesova, N. Kh. Rozovb

a Faculty of Mathematics, Yaroslavl State University, Yaroslavl, Russia
b Faculty of Mechanics and Mathematics, Moscow State University, Moscow, Russia

Abstract: A new mathematical model of a one-dimensional array of FitzHugh–Nagumo neurons with resistive-inductive coupling between neighboring elements is proposed. The model relies on a chain of diffusively coupled three-dimensional systems of ordinary differential equations. It is shown that any finite number of coexisting stable invariant two-dimensional tori can be obtained in this chain by suitably increasing the number of its elements.

Key words: FitzHugh–Nagumo neural network, normal form, invariant torus, asymptotic behavior, stability, buffer phenomenon.

UDC: 519.924.2

Received: 26.01.2016

DOI: 10.7868/S0044466917010070


 English version:
Computational Mathematics and Mathematical Physics, 2017, 57:1, 106–121

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© Steklov Math. Inst. of RAS, 2024